1. Joint Modeling
1.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
1.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## HDevsum 1.00 1.00
## LDevsum 1.02 1.09
## dl0 1.03 1.15
## dl1 1.02 1.10
## dl2 1.06 1.24
## dl3 1.00 1.00
##
## Multivariate psrf
##
## 1.04
1.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
1.4 WAIC results
| LevelH | LevelL | |
|---|---|---|
| DIC | 1133.88998 | 22097.3871 |
| DIC3 | 1106.41709 | 22117.3966 |
| PWAIC | 21.53912 | 190.8074 |
| WAIC | 1117.01970 | 22130.2198 |
2. Separate Modeling of High-Level
2.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
2.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## [1,] 1 1
2.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
2.4 WAIC results
| H0 | |
|---|---|
| DIC | 1133.88998 |
| DIC3 | 1106.41709 |
| PWAIC | 21.53912 |
| WAIC | 1117.01970 |
3. Separate Modeling for Low-level
3.1 Trace plots for convergence check
The current MCMC setting is:
- 4000000 iteration;
- 3000000 burn-in;
- 1000 thinning.
3.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## LDevsum 1.02 1.09
## dl0 1.03 1.15
## dl1 1.02 1.10
## dl2 1.06 1.24
## dl3 1.00 1.00
##
## Multivariate psrf
##
## 1.04
3.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
3.4 WAIC results
| L7a | |
|---|---|
| DIC | 22097.3871 |
| DIC3 | 22117.3966 |
| PWAIC | 190.8074 |
| WAIC | 22130.2198 |